Lab
Confusion Matrix Lab
Model Evaluation — Class 11
Mode
Binary
Multi-class
Enter Values
True Positives (TP)
80
False Positives (FP)
20
False Negatives (FN)
15
True Negatives (TN)
85
Number of Classes
3 Classes
4 Classes
5 Classes
Confusion Matrix Input
Calculate Metrics
Sample Scenarios
Cancer Screening
High recall needed — missing cancer is costly
Spam Filter
High precision — don't lose real emails
Fraud Detection
Rare positive class — imbalanced dataset